In 2009 Noodles & Company introduced spaghetti and meatballs to its menu. Before putting it on the menu, it performed taste tests to determine the best-tasting spaghetti sauce. In a paired comparison, 53 tasters were asked to rate their satisfaction with two different sauces on a scale of 1–10, with 10 being the highest. Assume equal population variances. The mean difference in ratings was d¯d¯ = -0.42158 with a standard deviation of sd = 1.17640. Use α = 0.05.
In 2009 Noodles & Company introduced spaghetti and meatballs to its menu. Before putting it on the menu, it performed taste tests to determine the best-tasting spaghetti sauce. In a paired comparison, 53 tasters were asked to rate their satisfaction with two different sauces on a scale of 1–10, with 10 being the highest. Assume equal population variances. The mean difference in ratings was d¯d¯ = -0.42158 with a standard deviation of sd = 1.17640. Use α = 0.05.
In 2009 Noodles & Company introduced spaghetti and meatballs to its menu. Before putting it on the menu, it performed taste tests to determine the best-tasting spaghetti sauce. In a paired comparison, 53 tasters were asked to rate their satisfaction with two different sauces on a scale of 1–10, with 10 being the highest. Assume equal population variances. The mean difference in ratings was d¯d¯ = -0.42158 with a standard deviation of sd = 1.17640. Use α = 0.05.
In 2009 Noodles & Company introduced spaghetti and meatballs to its menu. Before putting it on the menu, it performed taste tests to determine the best-tasting spaghetti sauce. In a paired comparison, 53 tasters were asked to rate their satisfaction with two different sauces on a scale of 1–10, with 10 being the highest. Assume equal population variances. The mean difference in ratings was d¯d¯ = -0.42158 with a standard deviation of sd = 1.17640. Use α = 0.05.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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